A case study of the overview, process, and results of the re-tuning that was conducted in a building in Arlington, Virginia by Vornado Realty Trust in October 2012. Re-tuning provided the facilities management team with the ability to identify and understand building scheduling opportunities that drove significant, low-cost energy savings. Five measures were conducted, many of which pertained to the HVAC system.
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This dynamic document provides background information to any potential audience of building re-tuning training. This document provides background information specifically geared toward small- to medium-sized commercial building operations. It introduces basic building energy terminology associated with building energy use to “prime” targeted participants to get the most out of the building re-tuning training. The intent is for participants who are less familiar with the concepts to review this material before taking the building re-tuning training class.
The primary audience for this instructor manual is the person who will be teaching the re-tuning course. In addition, community college instructors, retro-commissioning training providers and building operator training providers may find value in the material presented in this instructor manual as well. The purpose of this course is to help building operations staff to learn how to operate buildings more efficiently, reduce operating cost and provide energy savings. The knowledge and skills learned through the training will be highly valued by organizations and companies seeking to improve the performance of
Tower Companies, a DC based owner of large multi-tenant buildings and Better Buildings Challenge partner, engaged in an aggressive program to take measured data from their buildings and turn it into real energy savings. This case study, completed by Tower in partnership with the National Resources Defense Council (NRDC) describes outcomes at three properties. The case study was highlighted on a Better Buildings Webinar on February 5, 2014.
The lack of empirical data on the energy performance of buildings is a key barrier to accelerating the energy efficiency retrofit market. The DOE’s Buildings Performance Database (BPD) helps address this gap by allowing users to perform exploratory analyses on an anonymous dataset of hundreds of thousands of commercial and residential buildings. These analyses enable market actors to assess energy efficiency opportunities, forecast project performance, and quantify performance risk using empirical building data. In this paper, we describe the process of collecting and preparing data for the database, and present a peer-group analysis tool that allows users to analyze building performance for narrowly defined subsets of the database, or peer groups. We use this tool to explore a case study of a multifamily portfolio owner comparing his buildings’ performance to the peer group of multifamily buildings in the local metro area. We also present a performance comparison tool that uses statistical methods to estimate the expected change in energy performance due to changes in building-component technologies. We demonstrate a low-effort retrofit analysis, providing a probabilistic estimate of energy savings for a sample building retrofit. The key advantages of this approach compared to conventional engineering models are that it provides probabilistic risk analysis based on actual
measured data and can significantly reduce transaction costs for predicting savings across a portfolio.
NorthBay VacaValley Hospital completed lighting retrofits to their 150,000 square foot parking lot and its 225 parking spaces. They did so with help from The California Lighting Technology Center (CLTC) at the University of California, Davis. The project has achieved 65% savings and received a 2014 Lighting Energy Efficiency in Parking (LEEP) Campaign’s award for best use of lighting controls. In addition, the retrofits improved lighting maintenance operations and end-user satisfaction.
The lighting retrofit included replacing roughly 50 induction luminaires with new LED fixtures with embedded lighting controls.
The new LED fixtures were coupled with various kinds of lighting control systems, including a radio frequency (RF) connectivity control system that was installed in dedicated zones with passive- infrared (PIR) and long-range microwave sensors to achieve energy savings. An “ultra-smart” lighting control network was also put in place, giving facility managers the ability to adjust lighting schedules, light levels and time-out settings, monitor the system’s energy use, and receive automated alerts when luminaires require maintenance.
7x7x7: Design Energy Water is an innovative program by the Division of the State Architect that encouraged California school districts to develop long-range master plans that reduce energy and water consumption on campuses and improve the quality of educational spaces. The State Architect engages seven architectural firms to develop seven conceptual case studies that reduce school energy and water consumption and result in better learning environments on seven different types of campuses (six K-12 schools and a community college). The seven campuses are representative of typical building types from different eras constructed across California’s varied climate zones. The purpose and primary goal of this program is to enable all existing K-14 facilities to be zero energy by 2030.
In 2014, NorthBay VacaValley Hospital became one of the first U.S. health care facilities to install an energy-efficient, ultra-smart outdoor LED lighting system. The award-winning project was so successful that the NorthBay Healthcare group is now considering expanding the VacaValley system and retrofitting the outdoor lighting at other sites.
UC Davis established the Smart Lighting Initiative (SLI), an effort to reduce campus-wide lighting electricity consumption at least 60% below 2007 levels. The first phase of this program included a large-scale deployment of over 1,500 network-controlled LED streetlights, area lights, post-tops, and wall packs. The “ultra-smart” lighting installation has reduced annual energy use by an estimated 1,231,758 kWh, saving $120,909 annually in energy and maintenance costs.
Develop a simple document and Web-based information guidebook to help commercial building software developers, energy managers, and control companies implement strategies for commercial building energy analysis and performance monitoring. This project will use the following book as a model for the design of the handbook: Builder's Guide to Mixed Climates: Details for Design and Construction by Joseph W. Lstiburek. February 2001. Taunton Press. ISBN 156158388X.